Sleep Clinical Trial
Official title:
MRI Measurement of Brain Metabolism Across the Sleep-Wake Cycle
| Verified date | February 11, 2014 |
| Source | National Institutes of Health Clinical Center (CC) |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
This study will investigate the spatio-temporal characteristics of brain activity during
sleep. Functional magnetic resonance imaging (fMRI) studies have shown that in the absence of
external stimuli, the brain continues to show spatial patterns of activity that resemble
those during sensory and cognitive tasks. This phenomenon greatly affects the interpretation
of neuroimaging studies based on positive emission tomography (PET) and fMRI, which rely on
the contrast between brain activity during a task and activity during rest. In addition,
resting state activity in itself may reveal information on the large-scale organization of
neuronal networks and on functional abnormalities related to disease.
Participants should represent a broad cross section of the healthy adult population. Any
neurologically and psychiatrically healthy male or nonpregnant female between 18 and 65 years
old may be eligible.
Studies will be conducted in the In Vivo NMR Research Center. Concurrent electroencephalogram
(EEG) and MRI studies will last between 1 and 2 hours. A typical study involves 15 minutes of
anatomical MRI scanning followed by a 60-minute functional scan during which the subject
relaxes with eyes closed and is encouraged to sleep while the fMRI/EEG are performed.
Participants may be scanned 1 to 20 times. No more than 1 scan will be performed per day and
no more than 20 scans will be performed within a year. During the last 5 to 10 minutes of the
scan, the participant will open his or her eyes and actively participate in a visual
stimulation or attention task. The participant's alertness will be measured by a behavioral
(button-press) response. The visual stimuli (contrast reversing checkerboard displays,
alternated with uniform grey fields) will be presented using the standard projection system
available with the MRI scanner. The attention task will involve repeated visual presentation
of groups of letters and digits; the participant will be asked about the correspondence
between these groups.
Magnetoencephalogram (MEG) scans will be performed on some participants. The precise and
undistorted signals available with MEG will be used to enhance the interpretation of
alertness and sleep-related characteristics of the EEG signals, which can vary quite
dramatically across subjects. In addition, the MEG signals will provide preliminary spatial
localization of the sleep-dependent changes more precisely than is possible with EEG. MRI
scanner noise will be simulated using tape recordings to allow comparison with the MRI/EEG
data. MEG scans will last 45 minutes to 2 hours. At all times during any of the brain scans
the participant will be able to communicate the MRI scientist or MEG/EEG technician and can
ask to be removed from the device at any time.
The study will not have a direct benefit for participants. It may be help us learn more about
brain function, which may lead to better treatments.
| Status | Completed |
| Enrollment | 56 |
| Est. completion date | February 11, 2014 |
| Est. primary completion date | |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 18 Years to 65 Years |
| Eligibility |
- INCLUSION CRITERIA: Any neurologically and psychiatrically normal, male or female, healthy volunteer between 18 and 65 years old is in principle eligible for the study. Subjects must be capable of understanding the procedures and requirements of this study. Subjects must be willing to sign an informed consent document. EXCLUSION CRITERIA: A subject will be excluded if he/she has a contraindication to MR scanning such as the following: pregnancy, aneurysm clip; implanted neural stimulator; implanted cardiac pacemaker or auto-defibrillator; cochlear implant; known absent acoustic reflex; ocular foreign body (e.g. metal shavings or insulin pump) and any pre-existing eye conditions. Subjects who underwent brain surgery, who have a neurological lesion, a psychiatric history or recurrent migraines that require medication will also be excluded from this study. To minimize potential confounds, subjects with abnormal sleep/wake patterns will be excluded. They should report no sleep problems or shift work, or medications that could impair sleep, no illegal drugs or tobacco. Subjects will be in good health as assessed by medical history, interview and physical exam. Subjects will be asked to: Refrain from alcohol and caffeinated products for 1 day prior to the study; Maintain their habitual bed times and wake-up times for 1 week prior to the study. A wrist-worn activity monitor (Actigraph[R], Precision Control Design, Inc., Fort Walton Beach, FL) may be used to confirm compliance with the latter instruction. Exclusion criteria include: Sleep disorder (reported or detected); Psychopathology, personal or first-degree relative. (They are likely to place the subject at risk for an adverse consequence related to the extended wakefulness portion of the study); Seizures or head injury with loss of consciousness greater than 5 minutes; Substance dependence (diagnosable); Smoking tobacco or psychotropic medications (currently); Caffeine consumption of 300 mg or 2 ounces of alcohol on a regular daily consumption; Cardiac, respiratory, or other medical condition that may affect cerebral metabolism. |
| Country | Name | City | State |
|---|---|---|---|
| United States | National Institutes of Health Clinical Center, 9000 Rockville Pike | Bethesda | Maryland |
| Lead Sponsor | Collaborator |
|---|---|
| National Institute of Neurological Disorders and Stroke (NINDS) |
United States,
Bartels A, Zeki S. The chronoarchitecture of the human brain--natural viewing conditions reveal a time-based anatomy of the brain. Neuroimage. 2004 May;22(1):419-33. — View Citation
Beckmann CF, Smith SM. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging. 2004 Feb;23(2):137-52. — View Citation
Calhoun VD, Adali T, McGinty VB, Pekar JJ, Watson TD, Pearlson GD. fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent components analysis. Neuroimage. 2001 Nov;14(5):1080-8. — View Citation
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